Crafting effective prompts for AI systems
About
Chris Karani
Founder, CEO @Bebop. I write about AI agents, on-device inference, and the infrastructure behind reliable intelligent software.
I build software at the intersection of AI systems, developer tooling, and performance engineering. This site is where I document experiments, architecture decisions, and the ideas that survive real implementation work.
My work focuses on Swift-native tooling, orchestration frameworks, memory systems, Metal inference, and the operational details that make agent-based software actually usable.
Focus Areas
ls -la ./topicsDesigning optimal context windows
Building autonomous AI systems
Understanding large language models
AI-powered workflow automation
Open Source
ls -la ./projects 🐦🔥
A lightweight agent orchestration framework written in pure Swift.
2026 swift / orchestration
🕯️
Single-file memory layer for AI agents, sub mili-second RAG on Apple Silicon. Metal optimized on-device. No server. No API. One file. Pure Swift.
2026 swift / memory
☕
LLM inference and training directly on Apple Neural Engine.
2026 swift / ane
🏎️
LLM inference optimized for Metal GPU throughput performance.
2026 swift / metal